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Alibaba Cloud Observability
Alibaba Cloud Observability
Dec 29, 2025 · Cloud Native

How to Seamlessly Import Massive S3 Logs into Alibaba Cloud SLS with Real‑Time Analysis

This article explains how to centralize and analyze massive multi‑cloud log data stored in object storage by moving AWS S3 logs into Alibaba Cloud Log Service (SLS) using dual‑mode file discovery, SQS event‑driven import, elastic scaling, and pre‑ingestion processing to achieve low latency, high reliability, and cost efficiency.

AWS S3Real-time Processingalibaba-sls
0 likes · 12 min read
How to Seamlessly Import Massive S3 Logs into Alibaba Cloud SLS with Real‑Time Analysis
Code Wrench
Code Wrench
Jul 1, 2025 · Databases

How to Build a Low‑Cost, Scalable SQL Server Backup Using Amazon S3

This guide explains why Amazon S3 is an economical, scalable storage option for SQL Server backups and provides a step‑by‑step tutorial—including IAM policy creation, bucket setup, backup job scripting, synchronization, and cleanup—to achieve automated, reliable, and cost‑effective data protection.

AWS S3Database BackupSQL Server
0 likes · 7 min read
How to Build a Low‑Cost, Scalable SQL Server Backup Using Amazon S3
Alibaba Cloud Observability
Alibaba Cloud Observability
Jun 30, 2025 · Cloud Native

How to Seamlessly Integrate Multi‑Cloud Data with Alibaba Cloud SLS Object Import

This guide explains the challenges of multi‑cloud data fusion, introduces Alibaba Cloud Log Service (SLS) object import architecture with parallel file discovery and data pulling, details supported file and compression formats, elastic scaling for traffic spikes, and provides step‑by‑step hands‑on tutorials for importing OSS and S3 data, plus real‑world billing and operation audit use cases.

AWS S3Log Servicealibaba oss
0 likes · 18 min read
How to Seamlessly Integrate Multi‑Cloud Data with Alibaba Cloud SLS Object Import
Big Data Technology & Architecture
Big Data Technology & Architecture
Jun 16, 2020 · Big Data

Hot and Cold Data Separation in Big Data Systems

The article explains the concept of hot and cold data, why separating them reduces cost, and presents heterogeneous and homogeneous architectural solutions—including Elasticsearch, HBase, AWS S3, and cloud‑based UltraWarm—illustrated with network‑behavior and e‑commerce order system case studies.

AWS S3Big Data ArchitectureData Lifecycle
0 likes · 11 min read
Hot and Cold Data Separation in Big Data Systems
21CTO
21CTO
Dec 13, 2019 · Information Security

What Happens When an Elasticsearch Cluster Exposes 2.7 Billion Emails?

A massive Elasticsearch data breach revealed over 2.7 billion email addresses, 1 billion passwords, and hundreds of thousands of personal documents, highlighting how misconfigured cloud storage on AWS S3 can lead to large‑scale exposure of sensitive information and underscore the need for robust cloud security practices.

AWS S3ElasticsearchPersonal Data Exposure
0 likes · 6 min read
What Happens When an Elasticsearch Cluster Exposes 2.7 Billion Emails?